B

BeatCOVID

Application of Machine Learning prevent COVID

B

BeatCOVID

Application of Machine Learning prevent COVID

The problem BeatCOVID solves

Detection of People and estimation of distances in order to ensure Social Distancing
Detection of Face Mask in the live video stream to prevent the spread of COVID19
Using Speechly to have a zero-touch human-computer interaction

Challenges we ran into

-Making a Neural Network and training it to detect masks.
-Optimization of Neural Network.
-Method to detect multiple faces with different colors of masks of different sizes and inclination.
-Deploying a method to receive the input from webcam/CCTV(in the form of a video)
-Learning about YOLO algorithm to implement distance estimation to avoid using Recursive Neural Network
-Implementation of distance estimation Model using OpenCV and YOLO.
-Integration of Speechly API to a React-based front-end
-Organizing and designing the Front-end.

Discussion